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Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes
Umea University, SWE.ORCID iD: 0000-0002-0712-8256
Umea University, SWE.ORCID iD: 0000-0001-9401-6844
Karolinska Institute, SWE.
Karolinska Institute, SWE.
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2022 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 9, no 1, article id 558Article in journal (Refereed) Published
Abstract [en]

Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound's toxic effect on pancreatic beta-cells. However, a comprehensive view of pancreatic beta-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image datasets of the full beta-cell mass distribution in mice subject to single high and multiple low doses of STZ administration, and in glycaemia recovered mice. The data further include information about structural features, such as individual islet beta-cell volumes, spatial coordinates, and shape as well as signal intensities for both insulin and GLUT2. Together, they provide the most comprehensive anatomical record of the effects of STZ administration on the islet of Langerhans in mice. As such, this data descriptor may serve as reference material to facilitate the planning, use and (re)interpretation of this widely used disease model.

Place, publisher, year, edition, pages
Nature Publishing Group, 2022. Vol. 9, no 1, article id 558
Keywords [en]
Animals, Blood Glucose, Diabetes Mellitus, Insulin, Islets of Langerhans
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:bth-23700DOI: 10.1038/s41597-022-01546-5ISI: 000852384000002PubMedID: 36088402Scopus ID: 2-s2.0-85138129001OAI: oai:DiVA.org:bth-23700DiVA, id: diva2:1700348
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data paper

open access

Available from: 2022-09-30 Created: 2022-09-30 Last updated: 2025-09-30Bibliographically approved

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fulltext(1459 kB)132 downloads
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Cheddad, Abbas

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